AI / ML Solutions Lead (Associate

Nomura Overview :

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions: Wealth Management, Investment

Management, and Wholesale (Global Markets and Investment Banking). Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit www.nomura.com.

Nomura Services, India supports the group’s global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group’s global operations.

At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India

Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.

Function / Department Overview

The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.

Job Responsibilities

Risk and control mindset

Modernize and automation of controls frameworks

Develop and optimize AI/ML models

Model evaluation:

Collaborate with cross-functional teams

Solution Delivery

Communication

Continuous learning

Qualification & Core Skills requirement

Master or Bachler in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a similar field of study.

At least 7 to 10 years of Hands-on Experience in data and analytics roles.

Expertise in machine learning algorithms, statistical modeling, and deep learning, ensuring model accuracy, scalability, and performance.

Hands-on experience in building and managing model pipelines for testing, training, and deployment.

Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools

Proficiency with handling unstructured problems, managing complex structured, semi-structured and unstructured data

Ability to evaluate models, test for responsible/ethical AI frameworks and apply controls to manage AI risk

Excellent collaboration and communication skills to work effectively with cross-functional teams.

Knowledge of SDLC standards, including data integration, application security, and scalable design.